Background

National Longitudinal Mortality Survey was a follow up done with a set of population (living in United States) for 11 years time to observe and record their Health and Lifestyle vitals to study the effects of demographic and socio-economic characteristics on differential in Mortality rates.

Let’s see an overall picture for the Loss of lives recorded in this Survey of 11 years, and compare it to the amount of Suicides. In our Study, we’ll be focussing on finding the Driving factors for people committing Suicide.

Most of the Suicides have been found by people who are not a member of any Defence Forces.

## Warning in grid.Call(L_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## font family not found in Windows font database

## Warning in grid.Call(L_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## font family not found in Windows font database
## Warning in grid.Call.graphics(L_text, as.graphicsAnnot(x$label), x$x, x
## $y, : font family not found in Windows font database

## Warning in grid.Call.graphics(L_text, as.graphicsAnnot(x$label), x$x, x
## $y, : font family not found in Windows font database

## Warning in grid.Call(L_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## font family not found in Windows font database

## Warning in grid.Call(L_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## font family not found in Windows font database

  1. People below age of 35 years, having Excellent health, may be facing difficulties with their Intellectual Health.

Can Government authorities do something here by initiaitng a Counselling with the Veterans to help them out?

  1. Disabled people with Poor Health also seem to be conrtibuting towards Suicide.

Their Disability be due to any harm for their participation in any War. Could Goverment authorities taking better Care of them help out from losing their Lives?

  1. People with Income < 25k form the majority.

Could Government increasing their Wages help them out from taking such actions?

  1. Never Married, and Separated are the least amongst Veterans.

Could Marriages, losing the Partner or divorce be a factor leading People into some personal issues, eventually taking a toll on mental Health? If yes, Married/ Divorced/ Widowed people could be focussed to undergo some Counselling sessions to help them out.

An overview of people committing Suicides.

Whites have been the most out of Subjects committing Suicides, evenly spread across all Age Groups.

Males are found to be in majority for commiting Suicides, with White, Married, and Never Married topping the census. We’ll study the individual contribution of these factors towards deducing the Survivability of any Subject.

The data shows that Whites are the ones committing most of the Suicides, but comparitively there is more %age of the ‘American Indian or Alaskan’ population committing Suicides.

There are 2 areas- Service, and Production which should be looked into for the maximum number of Deaths, and Suicides, respectively. American Indian or Alaskan people have committed most of the Suicides in Production, and Construction related Work areas. However, American Indians or Alaskans did not commit Suicide who worked for Business, Sales, Farming, and Armed Forces.

People educated till High School level 4 and having Salary less than 25k are the majority among Subjects.

People with High School Education of level- H1 to H4 can be found in every Profession. But, most of them losing their Lives are in Construction, and Transportation Business.

Also, people with higher Education level of C1 to C6 are least involved in Farming Business, maybe because they move to Metro cities. And most of them (Engineers, Scientists, Lawyers, Judicial Workers, Judges, Teachers, Musicians, Artists, Photographers, Doctors, Pharmacists).

Could this be because of Work pressure they have to bear because of an higher level of Job they are pursuing? Could it be helpful to incorporate a Subject in the Education System, which could help people understand and manage Mental pressures? Majority of the Subjects had Insurance subscribed from their Employer.

Survival Analysis on Suicides.

People in age group > 75 years are found to be most Vulnerable of commiting Suicides. However, Youth in age group of 25 - 34 Years, are the majority in Count of commiting Suicides.

People of Race = Other Non- White are most vulnerable towards commiting Suicides, but Suicides appear to be in majority among the Whites.

Males or Females are equaly vulnerable towards commiting Suicide, but Males outnumber Females for the Stats.

Married people outnumber all others, but Widowed are most Vulnerable.

People with Income less than 25k, are the most Vulnerable amongst the Working population.

People who have only completed the Elementaty Education seems to be most Vulnerable towards committing Suicides. However, majority is among the people attending High Schools.

Majority of the subjects are found to be working in an Industry not needing Manual Labour. Vulnerability of both the groups, however, is similar.

Unemployed people tend to be most vulnerable towards Suicide, but are outnumbered by Employed for records.

Other Hispanics being most vulnerable are outnumbered by Non- Hispanics.

People with Insurance are somewhat less resilient against Suicides, but are outnumbered by people not Insured.

People living in Urban areas outnumber Rural population for Suicides.

People born in US are less resilient against Suicide, and are outnumbered by people Born Abroad.

People with average health are least resilient but are outnumbered by people with Excellent Health.

People who are not linked to any Defence Forces are the majority among people commiting Suicides.